EV-associated miRNAs from peritoneal lavage as potential diagnostic biomarkers in colorectal cancer

Background: Colorectal cancer (CRC) is the third leading cause of cancer-related mortality worldwide. Current systematic methods for diagnosing have inherent limitations so development of a minimally-invasive diagnosis, based on the identification of sensitive biomarkers in liquid biopsies could the...

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Detalles Bibliográficos
Autores: Roman-Canal, Berta, Tarragona, Jordi, Moiola, Cristian Pablo, Gatius, Sònia, Bonnin, Sarah, Ruiz-Miró, Maria, Sierra, José Enrique, Rufas, Maria, González, Esperanza, Porcel, José M., Gil-Moreno, Antonio, Falcón-Pérez, Juan M., Ponomarenko, Julia, Matias-Guiu, Xavier, Colas, Eva
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/42305
Acceso en línea:http://hdl.handle.net/10230/42305
http://dx.doi.org/10.1186/s12967-019-1954-8
Access Level:acceso abierto
Palabra clave:Colorectal cancer
Biomarkers
Diagnostic
miRNAs
Ascitic fluid
Peritoneal lavage
Liquid biopsy
Extracellular vesicles
Colon cancer
Descripción
Sumario:Background: Colorectal cancer (CRC) is the third leading cause of cancer-related mortality worldwide. Current systematic methods for diagnosing have inherent limitations so development of a minimally-invasive diagnosis, based on the identification of sensitive biomarkers in liquid biopsies could therefore facilitate screening among population at risk. Methods: In this study, we aim to develop a novel approach to identify highly sensitive and specific biomarkers by investigating the use of extracellular vesicles (EVs) isolated from the peritoneal lavage as a source of potential miRNA diagnostic biomarkers. We isolated EVs by ultracentrifugation from 25 ascitic fluids and 25 peritoneal lavages from non-cancer and CRC patients, respectively. Analysis of the expression of EV-associated miRNAs was performed using Taqman OpenArray technology through which we could detect 371 miRNAs. Results: 210 miRNAs were significantly dysregulated (adjusted p value < 0.05 and abs(logFC) ≥ 1). The top-10 miRNAs, which had the AUC value higher than 0.95, were miRNA-199b-5p, miRNA-150-5p, miRNA-29c-5p, miRNA-218-5p, miRNA-99a-3p, miRNA-383-5p, miRNA-199a-3p, miRNA-193a-5p, miRNA-10b-5p and miRNA-181c-5p. Conclusions: This finding opens the avenue to the use of EV-associated miRNA of peritoneal lavages as an untapped source of biomarkers for CRC.